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A vulnerability, which was classified as problematic, has been found in Google Chrome. Impacted is an unknown function of the component Media. Performing manipulation results in out-of-bounds read. This vulnerability is cataloged as CVE-2025-11211. It is possible to initiate the attack remotely. There is no exploit available. It is advisable to upgrade the affected component.

A vulnerability was found in Google Chrome. It has been declared as problematic. Affected is an unknown function of the component Omnibox. Such manipulation leads to privilege escalation. This vulnerability is traded as CVE-2025-11209. Access to the local network is required for this attack to succeed. There is no exploit available. It is recommended to upgrade the affected component.

A vulnerability marked as problematic has been reported in Google Chrome. Affected by this issue is some unknown functionality of the component Storage. The manipulation leads to information disclosure. This vulnerability is referenced as CVE-2025-11207. Remote exploitation of the attack is possible. No exploit is available. It is suggested to upgrade the affected component.

A vulnerability described as critical has been identified in Google Chrome. This affects an unknown part of the component Video. The manipulation results in heap-based buffer overflow. This vulnerability is identified as CVE-2025-11206. The attack can be executed remotely. There is not any exploit available. Upgrading the affected component is recommended.

A vulnerability was found in Google Chrome. It has been rated as problematic. Affected by this vulnerability is an unknown functionality of the component Media. Performing manipulation results in privilege escalation. This vulnerability is known as CVE-2025-11208. Access to the local network is required for this attack. No exploit is available. Upgrading the affected component is advised.

本文主要讨论了CodeQL在Java项目通过自定义isBarrier规则来净化某些数据类型，从而减少误报。 还介绍了提取Spring框架中Controller方法的URL路径。

Flowise 是开源的低代码/无代码工具，帮助用户快速构建和部署基于大语言模型（LLM）的应用程序。最近爆出了大量漏洞，来看一下

Новые автономные машины помогут строить первую базу под поверхностью Луны.

Oct 06, 2025 - Alan Fagan - Operationalizing Defense
The key to catching ASCII Smuggling is monitoring the raw input payload, the exact string the LLM tokenization engine receives, not just the visible text.
Ingestion: FireTail continuously records LLM activity logs from all your integrated platforms.
Analysis: Our platform analyzes the raw payload data for the specific sequences of Tags Unicode Blocks and other zero-width characters used in smuggling attacks.
Alerting: We generate an alert (e.g., "ASCII Smuggling Attempt") the moment the pattern is detected in the input stream.
Response: Security teams can immediately isolate the source (e.g., block the malicious calendar sender) or, more importantly, flag the resulting LLM output for manual review. This prevents the poisoned data from reaching critical systems or other users.

This is a necessary shift in strategy. You can't rely on the LLM to police itself, and you can't rely on the UI to show you the full story. Monitoring the raw input stream is the only reliable control point against these application-layer flaws. This is how we are hardening the AI perimeter for our customers.

If you would like to see how FireTail can protect your organization from this and other AI security risks, start a 14-day trial today. Book your onboarding call here to get started.

The post Ghosts in the Machine: ASCII Smuggling across Various LLMs – FireTail Blog appeared first on Security Boulevard.

A vulnerability, which was classified as problematic, was found in Linux Kernel up to 5.10.100/5.15.23/5.16.9. This issue affects the function mdiobus_free of the component bcm_sf2. Such manipulation leads to allocation of resources. This vulnerability is documented as CVE-2022-48815. The attack requires being on the local network. There is not any exploit available. You should upgrade the affected component.

A vulnerability was found in Linux Kernel up to 5.10.100/5.15.23/5.16.9 and classified as problematic. The affected element is the function mdiobus_free of the component ar9331. Executing manipulation can lead to allocation of resources. This vulnerability appears as CVE-2022-48817. The attacker needs to be present on the local network. There is no available exploit. It is suggested to upgrade the affected component.

A vulnerability, which was classified as critical, has been found in Linux Kernel up to 6.9.8. The impacted element is an unknown function of the component rtw89. The manipulation leads to denial of service. This vulnerability is documented as CVE-2024-42125. The attack requires being on the local network. There is not any exploit available. It is advisable to upgrade the affected component.

A vulnerability was found in Linux Kernel up to 5.10.100/5.15.23/5.16.9. It has been classified as problematic. The impacted element is the function mdiobus_free of the file drivers/net/phy/mdio_bus.c. The manipulation leads to allocation of resources. This vulnerability is traded as CVE-2022-48818. Access to the local network is required for this attack to succeed. There is no exploit available. Upgrading the affected component is recommended.

A vulnerability was found in Kovah LinkAce up to 1.15.5 and classified as problematic. This vulnerability affects unknown code of the component File Upload. Such manipulation leads to cross site scripting. This vulnerability is uniquely identified as CVE-2024-56508. The attack can be launched remotely. No exploit exists. It is suggested to upgrade the affected component.

A vulnerability was found in Kovah LinkAce up to 1.15.5. It has been classified as problematic. This issue affects some unknown processing of the component Edit Link Module. Performing manipulation of the argument URL results in cross site scripting. This vulnerability was named CVE-2024-56507. The attack may be initiated remotely. There is no available exploit. Upgrading the affected component is recommended.

A vulnerability classified as critical has been found in NVIDIA Container Toolkit and GPU Operator. This affects an unknown function. The manipulation leads to improper isolation or compartmentalization. This vulnerability is listed as CVE-2024-0136. The attack may be initiated remotely. There is no available exploit.

A vulnerability classified as problematic has been found in Nvidia Container Toolkit and GPU Operator up to 1.17.0. Affected by this issue is some unknown functionality. The manipulation leads to improper isolation or compartmentalization. This vulnerability is traded as CVE-2024-0137. It is possible to initiate the attack remotely. There is no exploit available.

A vulnerability was found in Nvidia Container Toolkit and GPU Operator up to 1.17.0 and classified as critical. Impacted is an unknown function. The manipulation results in improper isolation or compartmentalization. This vulnerability is reported as CVE-2024-0135. The attack can be launched remotely. No exploit exists.

A vulnerability was found in Linux Kernel up to 6.1.97/6.6.38/6.9.8. It has been rated as problematic. The impacted element is the function nmi_enter/nmi_exit. This manipulation causes allocation of resources. The identification of this vulnerability is CVE-2024-42126. The attack needs to be done within the local network. There is no exploit available. Upgrading the affected component is advised.

A vulnerability has been found in Linux Kernel up to 5.16.9 and classified as problematic. Impacted is an unknown function of the component SUNRPC. Performing manipulation results in information disclosure. This vulnerability is reported as CVE-2022-48816. The attacker must have access to the local network to execute the attack. No exploit exists. The affected component should be upgraded.